Generating and matching hashes of multimedia content
a multimedia content and hashing technology, applied in the field of multimedia content generation and matching hashes, can solve the problems of prohibitive search strategy and exhaustive search, and achieve the effect of overcoming the complexity of np-complete search and robust hashing
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[0021]Before describing a preferred embodiment, a general description of considerations underlying this invention will be elucidated.
[0022]Two signals (audio, video, image) can differ quite drastically (e.g. by compression) in a signal theoretical sense, whereas they are perceptually indistinguishable. Ideally, a hash function mimics the behavior of the human auditory system (HAS) or human visual system (HVS), i.e. it produces the same hash signal for content that is considered the same by the HAS / HVS. However, many kinds of processing (compression, noise addition, echo addition, D / A and A / D conversion, equalization etc.) can be applied to the signal and there is no algorithm that is able to mimic the HAS / HVS perfectly. A complicating factor is that even the HAS / HVS varies from person to person as well as in time, and even the notion of one single HAS / HVS is untenable. Also, the classical definition of a hash does not take time into account: a robust hash should not only be able to ...
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